NUL
发表于 2025-3-28 14:52:29
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antiandrogen
发表于 2025-3-28 19:08:47
An Improvement of Basic Mouth Shape Detection Rate from Japanese Utterance Image Sequence Using Optroposed a detection method of the mouth shapes by using template matching. Two kinds of mouth shapes are formed when we pronounce a Japanese phone. One is a mouth shape that is formed at the beginning of utterance, and the other is formed at the end. The former is called “Beginning Mouth Shape” (BeM
aspersion
发表于 2025-3-29 01:01:05
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Robust
发表于 2025-3-29 04:23:51
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JEER
发表于 2025-3-29 11:17:14
Automated Deployment of Hierarchical Components, performance and utilization of computers and the network. Thus, deployment of the system has to be carefully planned. There exist algorithms for deployment of component-based system; however they allow deployment of systems with a single level of component composition; hierarchical systems have to
水槽
发表于 2025-3-29 11:53:56
Speech Synthesis of Emotions Using Vowel Features,g emotional synthetic speech, it is necessary to control the prosodic features of the utterances. We propose a case-based method for generating emotional synthetic speech by exploiting the characteristics of the maximum amplitude and the utterance time of vowels, and the fundamental frequency of emo
平息
发表于 2025-3-29 18:28:30
Knowledge Management for Model Driven Data Cleaning of Very Large Database,y four aspects of complexity which, if they were not explicitly addressed and fully managed will hinder both the recognizing and attaining of the best result: (a) the inconsistency of solution knowledge due to their partial applicability among multiple concerns; (b) the side effect which is introduc
cultivated
发表于 2025-3-29 23:03:55
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果核
发表于 2025-3-30 02:29:09
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Trypsin
发表于 2025-3-30 06:23:26
Error Prediction Methods for Embedded Software Development Using Hybrid Models of Self-Organizing MOMs) and multiple regression analyses (MRAs). SOMs are a type of artificial neural networks that relies on unsupervised learning. A SOM produces a low-dimensional, discretized representation of the input space of training samples; these representations are called maps. SOMs are useful for visualizin